N. Nagappan

From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

ARCTIC, an AI-powered Code Critique system that reframes code review around three capabilities: intent prediction, which infers why a change was made from conversation logs and metadata; drift detection, which measures divergence between the developer's intent and the agent's output via backtranslation; and code spotli...

Providing test quality feedback using static source code and automatic test suite metrics

Autonomous Refactoring for Perfective Maintenance at Scale: The Agentic RACER System and its Empirical Evaluations

Developing a GenAI agent that autonomously formulates, prioritizes, and completes a limited set of code improvement tasks enterprise-wide is reported, and a Difference-in-Differences analysis found that automated improvements had an effect on the reduction of future maintenance effort that was as strong as or stronger...